NICE Ltd.

Lead Software Engineer

NICE Ltd. • $120K — $160K *
Seattle, WA 98115In-Person
Information Technology
8 - 10 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 8-12 years of experience in software engineering or data engineering, with recent hands-on work in AI systems
  • Expertise in large-scale cloud data platforms like Snowflake, Databricks, or BigQuery
  • Hands-on experience building workflows driven by large language models (LLMs) for dynamic SQL generation
  • Proficiency in programming languages such as Python and/or Java for AI pipeline development
  • Experience with vector search and tools like OpenSearch for document and semantic retrieval
  • Familiarity with data cataloging systems and metadata management
  • Strong troubleshooting and debugging skills in production environments.

Responsibilities

  • Design and implement scalable AI-driven data solutions across cloud platforms
  • Prototype and productionize LLM-based systems for document search and semantic retrieval
  • Build and maintain vector search capabilities using OpenSearch or similar technologies
  • Develop data catalog layers for LLM reasoning and data discoverability
  • Create reliable and performant data pipelines for AI workloads
  • Advise engineering leadership on technology strategy and selection based on company needs
  • Collaborate with global engineering teams to ensure high-quality AI data solutions are in production.

Benefits

  • Work with cutting-edge AI and data technology
  • Collaborate across global teams
  • Opportunity for professional growth and mentoring
  • Hands-on role with significant architecture and code contributions
  • Engage in strategic decision-making at the engineering leadership level.
Full Job Description
Job Description: Lead Software Engineer (Data technologies)
Location: Sandy, UT or Atlanta Georgia or Bay Area , CA
Overview

We are seeking a highly skilled Builder to design and implement AI-driven solutions that scale across cloud data lakes. This role will collaborate closely with engineering and data teams to prototype and productionize data solutions at scale that include document and vector search, and semantic retrieval. This role will advise engineering leadership on technology selection and direction, while ensuring robust, scalable, and well-governed production deployments. This is a hands on role with significant architecture, code contribution and mentoring other builders

Key Responsibilities
  • Design and implement AI-driven data solutions that scale across cloud data platforms such as Snowflake or Databricks or BigQuery (anyone)
  • Prototype and productionize LLM-based systems for dynamic SQL generation, document search, and semantic retrieval
  • Build and maintain vector search capabilities using OpenSearch or similar technologies
  • Develop metadata and data catalog layers to enable LLM reasoning and discoverability
  • Build reliable, performant, and well-governed data pipelines for AI workloads
  • Advise engineering leadership on technology selection and strategic direction aligned with company needs
  • Partner with global engineering teams to deliver high-quality AI data solutions in production
  • Experience in making Data ready for AI with Semantic layer (Nice to have)


Required Technical Background
  • Expertise in large-scale cloud data platforms (Snowflake or Databricks or BigQuery, or equivalent)
  • Hands-on experience building LLM-driven workflows for dynamic SQL generation or intelligent data access
  • Proficiency in Python and/or Java for AI pipeline development
  • Experience with vector search and OpenSearch (or similar) for document and semantic retrieval
  • Familiarity with data cataloging or metadata systems such as custom YAML schemas, Atlan, or DataHub
  • Strong troubleshooting and debugging skills in production environments.
  • High ownership, critical thinking, curiosity, and execution skills with a collaborative mindset for working across global teams


Preferred Qualifications
  • Prior experience advising engineering leadership on well-rounded technology selection and direction along with tradeoffs
  • Demonstrated ability to design and implement enterprise-grade AI and data solutions.
  • Strong learning orientation and enthusiasm for emerging AI and data engineering technologies.
  • Ability to work independently and drive execution across distributed teams.


Experience

8 to 12 years in software or Software Engineering, Data Engineering including recent hands-on work with AI systems

About NICE Ltd.

NICE Ltd. is an Israel-based company, specializing in telephone voice recording, data security, surveillance, and Robotic Process Automation as well as systems that analyze recorded data. The company serves various industries, such as financial services, telecommunications, healthcare, outsourcers, retail, media, travel, service providers, and utilities. The primary listing of the company's shares is on the Tel Aviv Stock Exchange; where it is part of the TA-35 Index. Barak Eilam became CEO in April 2014, replacing Zeevi Bregman. Eilam previously headed the company's Americas division. As of November, 2020 the company had ~6,800 employees. NICE was founded in 1986 as Neptune Intelligence Computer Engineering by 7 Israeli former army colleagues. The company initially focused on developing technology for security and defense applications, but soon refocused their efforts on civilian applications, mainly for contact center, financial services and business intelligence markets.
Learn more about NICE Ltd.
Size
7,102 employees
Market Cap
$12.3 billion
Industry
Enterprise Technology
Net Income
$196.6 million
Founded
2000
5 Year Trend
+13.6%
Revenue
$1.6 billion
NASDAQ
NICE
* Ladders Estimates

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